Unsupervised representation learning has been applied to other formats of 3D data, primarily point cloud (see [1]} for a survey). However, there have been limited works which apply unsupervised representation learning to meshes [2]}, [3]}, [4]}. [2]} learns to disentangle mesh representations using self and cross-consistency constraint for shape and pose estimation. [3]} learns a generative model for neural feature activations to perform pose estimation. [4]} proposes a MoCo-inspired contrastive learning method to perform hand shape estimation.
